• TRB 100th Annual Meeting - A Virtual Event

      January 2021

    • Online Program

2020

Annual Meeting Event Detail




Lectern Session 1513

Leveraging the Power of Machine Learning for Safer Roads

Tuesday, January 14 1:30 PM- 3:15 PM ET
Lectern
Osama Osman, University of Tennessee, Chattanooga
Sponsored by:
Standing Committee on Artificial Intelligence and Advanced Computing Applications (Changed to AED50 on 4/15/2020) (ABJ70)

Machine learning techniques have successfully been used to improve traffic safety and reduce crash rates. This session presents recent work on the application of innovative machine learning techniques for detection of lane changing maneuvers and distracted behavior, prediction of real time crash risk, and optimization of traffic safety conditions.



No agenda available

Title Presentation Number
Detecting Phone-Related Pedestrian Distracted Behaviors via a Two-Branch Convolutional Neural Network
Humberto Saenz, University of Texas, Rio Grande Valley
Hongkai Yu, Cleveland State University
Lingtao Wu, Texas A&M Transportation Institute
Xuesong (Simon) Zhou, Arizona State University
Show Abstract
20-01067
Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning
Christos Katrakazas, Technische Universitat Munchen
Vishal Mahajan, Technische Universitat Munchen
Constantinos Antoniou, Technische Universitat Munchen
Show Abstract
20-04520
Detection of Lane Change Maneuvers Using the SHRP2 Naturalistic Driving Study Data: A Machine Learning Approach
Anik Das, University of Wyoming
MD Nasim Khan, University of Wyoming
Mohamed Ahmed, University of Wyoming
Show Abstract
20-05662
Utilising Generative Adversarial Network to Address Imbalanced Data Issue in Real-Time Crash Risk Prediction
Cheuk Ki Man, Loughborough University
Mohammed Quddus, Loughborough University
Athanasios Theofilatos, Loughborough University
Rongjie Yu, Tongji University
Maria-Ioanna Imprialou, Atkins
Show Abstract
20-02029
A Deep Reinforcement Learning-Based Vehicle Driving Strategy to Optimize Traffic Safety in Traffic Oscillations
Meng Li, Southeast University
Zhibin Li, Southeast University
Chengcheng Xu, Southeast University
Tong Liu, Southeast University
Show Abstract
20-05977

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